Job Description:
Remitly's vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.
About the Role:
As a Data Analyst, Fraud you will be part of Remitly's Identity & Trust Analytics Team and will report to one of our Director's of Analytics. You will apply data science and analytics techniques to drive rapid, rational decision-making for Remitly's EU & International business. You will understand internal fraud systems, understand regional differences/priorities and customise solutions for various regions. You'll be tightly integrated with Remitly's Business Management Function and collaborate on regional solutions. You will relentlessly improve the experience for good customers by partnering with program and product managers, engineers, analysts, and designers. This is a hybrid role that requires 2-3 days a week in the London office.
You Will:
- Become an expert on Remitly's Payments Fraud (Scams, Chargebacks, Promo Abuse) data, experience, policy, and regulatory requirements
- Build a unified understanding of how our data, customer experiences, and goals align
- Create metrics to balance risk vs. reward, performance of systems and operational effectiveness
- Collaborate with Business Management to continuously improve customer experience and deliver on business goals
- Design experiments, read A/B tests, and perform ad hoc analyses
- Formulate hypotheses, design and evaluate product experiments
- Generate insights and help define & execute longer term product strategies and roadmaps across multiple product teams
You Have:
- 2+ yrs in an analyst role or similar professional experience in risk, fraud, fintech, operations, marketing
- Experience in any type of adversarial analysis such as risk, fraud, trust & safety is preferred
- Bachelor's degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience)
- 2+ yrs of experience using SQL for analysis (Python, R, statistical analysis, and modelling a bonus)
- Foundational statistical knowledge
- Experience distilling business problems from discussions, developing hypotheses, building an analytical framework, carrying out an analysis, and writing a clear recommendation
- Strong data communication skills, including data visualisation, technical writing, and business writing
- Experience finding creative solutions within the constraints of complex systems and policies
Our Benefits:
- Paid Vacation Days
- Health insurance
- Commuter benefit
- Employee Stock Purchase Plan (ESPP)
- Mental Health & Family Forming Benefits
- Continuing education and corridor travel benefits
We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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